Varying pixel resolution significantly improves deep learning-based carotid plaque histology segmentation.
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| Title: | Varying pixel resolution significantly improves deep learning-based carotid plaque histology segmentation. |
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| Authors: | Lee Y; Medical Physics, University of Wisconsin School of Medicine and Public Health (UW-SMPH), Madison, USA. ylee739@wisc.edu., Al Mukaddim R; Medical Physics, University of Wisconsin School of Medicine and Public Health (UW-SMPH), Madison, USA., Ngawang T; Medical Physics, University of Wisconsin School of Medicine and Public Health (UW-SMPH), Madison, USA., Salamat S; Pathology and Laboratory Medicine, UW-SMPH, Madison, USA.; Neurological Surgery, UW-SMPH, Madison, USA., Mitchell CC; Medicine/Division of Cardiovascular Medicine, UW-SMPH, Madison, USA., Maybock J; Neurological Surgery, UW-SMPH, Madison, USA., Wilbrand SM; Neurological Surgery, UW-SMPH, Madison, USA., Dempsey RJ; Neurological Surgery, UW-SMPH, Madison, USA., Varghese T; Medical Physics, University of Wisconsin School of Medicine and Public Health (UW-SMPH), Madison, USA. tvarghese@wisc.edu. |
| Source: | Scientific reports [Sci Rep] 2025 Jan 02; Vol. 15 (1), pp. 139. Date of Electronic Publication: 2025 Jan 02. |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2045-2322 |
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| DOI: | 10.1038/s41598-024-83948-6 |
